Testing the stability of the benefit transfer function for discrete choice contingent valuation data

David Matthews, George Hutchinson, Riccardo Scarpa

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper examines the stability of the benefit transfer function across 42 recreational forests in the British Isles. A working definition of reliable function transfer is Put forward, and a suitable statistical test is provided. A novel split sample method is used to test the sensitivity of the models' log-likelihood values to the removal of contingent valuation (CV) responses collected at individual forest sites, We find that a stable function improves Our measure of transfer reliability, but not by much. We conclude that, in empirical Studies on transferability, considerations of function stability are secondary to the availability and quality of site attribute data. Modellers' can study the advantages of transfer function stability vis-a-vis the value of additional information on recreation site attributes. (c) 2008 Elsevier GmbH. All rights reserved.
Original languageEnglish
Pages (from-to)131-146
Number of pages16
JournalJournal of Forest Economics
Volume15
Issue number1-2
DOIs
Publication statusPublished - Jan 2009

ASJC Scopus subject areas

  • Forestry
  • Ecology
  • Geography, Planning and Development

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